120 search results - page 4 / 24 » HYDRA: A Noise-tolerant Relational Concept Learning Algorith... |
ICFCA
2007
Springer
14 years 1 months ago
2007
Springer
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
LREC
2008
13 years 9 months ago
2008
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...